ESS: Generalized Error Sum of Squares
In mcglm: Multivariate Covariance Generalized Linear Models
ESS R Documentation
Generalized Error Sum of Squares
Description
Extract the generalized error sum of squares (ESS) for
objects of mcglm class.
Usage
ESS(object, verbose = TRUE)
Arguments
object
an object or a list of objects representing a model
of mcglm class.
verbose
logical. Print or not the ESS value.
Value
An invisible list with a single numeric component:
- ESS
The generalized error sum of squares, scaled by the residual
degrees of freedom.
Author(s)
Wagner Hugo Bonat, wbonat@ufpr.br
Source
Bonat, W. H. (2018). Multiple Response Variables Regression
Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.
Wang, M. (2014). Generalized Estimating Equations in Longitudinal Data
Analysis: A Review and Recent Developments. Advances in Statistics, 1(1)1–13.
See Also
gof, plogLik, pAIC, pKLIC,
GOSHO and RJC.
mcglm documentation built on Jan. 9, 2026, 1:07 a.m.
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| ESS | R Documentation |
Generalized Error Sum of Squares
Description
Extract the generalized error sum of squares (ESS) for
objects of mcglm class.
Usage
ESS(object, verbose = TRUE)
Arguments
object |
an object or a list of objects representing a model
of |
verbose |
logical. Print or not the ESS value. |
Value
An invisible list with a single numeric component:
- ESS
The generalized error sum of squares, scaled by the residual degrees of freedom.
Author(s)
Wagner Hugo Bonat, wbonat@ufpr.br
Source
Bonat, W. H. (2018). Multiple Response Variables Regression Models in R: The mcglm Package. Journal of Statistical Software, 84(4):1–30.
Wang, M. (2014). Generalized Estimating Equations in Longitudinal Data Analysis: A Review and Recent Developments. Advances in Statistics, 1(1)1–13.
See Also
gof, plogLik, pAIC, pKLIC,
GOSHO and RJC.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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